{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from pylab import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pythonlib import boolean as boolean\n",
    "from pythonlib import boolean_net as boolean_net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random as random #random could be destroyed by matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 将手写字体文件转换为布尔值矩阵\n",
    "\n",
    "# 字母转换为布尔值\n",
    "\n",
    "def to_bool_charactor(c):\n",
    "    if c=='1':\n",
    "        return True\n",
    "    else:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#将一行文字转换为布尔值列表\n",
    "\n",
    "def to_bool_string(s):\n",
    "    return[to_bool_charactor(x) for x in s]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#将文件转换为布尔矩阵\n",
    "\n",
    "def file2matrix(path):\n",
    "    fp=open(path,'r')\n",
    "    content=fp.read()\n",
    "    rowlist=content.splitlines()\n",
    "    x=np.array([to_bool_string(x) for x in rowlist])\n",
    "    \n",
    "    return x\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#设定0-9输出对应的二进制值列表\n",
    "#将输出结果与列表比对，决定输出数值（0-9）\n",
    "\n",
    "num_bool_dict={0:[False,False,False,False],\n",
    "              1:[False,False,False,True],\n",
    "              2:[False,False,True,False],\n",
    "              3:[False,False,True,True],\n",
    "              4:[False,True,False,False],\n",
    "              5:[False,True,False,True],\n",
    "              6:[False,True,True,False],\n",
    "              7:[False,True,True,True],\n",
    "              8:[True,False,False,False],\n",
    "              9:[True,False,False,True]}\n",
    "             \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "bool_list=list(num_bool_dict.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[False, False, False, False],\n",
       " [False, False, False, True],\n",
       " [False, False, True, False],\n",
       " [False, False, True, True],\n",
       " [False, True, False, False],\n",
       " [False, True, False, True],\n",
       " [False, True, True, False],\n",
       " [False, True, True, True],\n",
       " [True, False, False, False],\n",
       " [True, False, False, True]]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bool_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 布尔值转换为字符\n",
    "\n",
    "def to_char_bool(bool):\n",
    "    if bool:\n",
    "        return '1'\n",
    "    else:\n",
    "        return '0'\n",
    "\n",
    "def to_string_boollist(boollist):\n",
    "    temp=[to_char_bool(x) for x in boollist]    \n",
    "    return ''.join(temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#用图像来显示神经网络，显示转换矩阵，输入输出结果及隐藏层\n",
    "\n",
    "def show_nn(bl1):\n",
    "    fig,axs=plt.subplots(nrows=1, ncols=5, figsize=(12, 6))\n",
    "    axs[0].imshow(np.array([bl1.inode]),vmin=0,vmax=1)\n",
    "    axs[0].set_title('inode')\n",
    "    axs[0].set_axis_off()\n",
    "    axs[1].imshow(bl1.wi,vmin=0,vmax=1)\n",
    "    axs[1].set_title('wi')\n",
    "    axs[1].set_axis_off()\n",
    "    axs[2].imshow(np.array([bl1.hnode]),vmin=0,vmax=1)\n",
    "    axs[2].set_title('hnode')\n",
    "    axs[2].set_axis_off()\n",
    "    axs[3].imshow(bl1.wo,vmin=0,vmax=1)\n",
    "    axs[3].set_title('wo')\n",
    "    axs[3].set_axis_off()\n",
    "    axs[4].imshow(np.array([bl1.onode]),vmin=0,vmax=1)\n",
    "    axs[4].set_title('onode')\n",
    "    axs[4].set_axis_off()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 显示矩阵\n",
    "def show_nparray(nparray):\n",
    "    fig,axs=plt.subplots(nrows=1, ncols=1)\n",
    "    axs.imshow((nparray),vmin=0,vmax=1)\n",
    "    axs.set_title('array')\n",
    "    axs.set_axis_off()\n",
    "    \n",
    "#显示矩阵名称    \n",
    "def show_nparray_title(nparray,title):\n",
    "    fig,axs=plt.subplots(nrows=1, ncols=1)\n",
    "    axs.imshow((nparray),vmin=0,vmax=1)\n",
    "    axs.set_title(title)\n",
    "    axs.set_axis_off()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#训练二值神经网络\n",
    "\n",
    "def train_id_blnn(blnn_set,num,inputs,targets):\n",
    "    blnn_set[num].train(inputs,targets)\n",
    "    blnn_set[num].feedforward()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#验证输入图片后，输出数值是否与目标值相符\n",
    "\n",
    "def verify(blnn,inputs,targets):\n",
    "    blnn.inode=inputs\n",
    "    blnn.feedforward()\n",
    "    if blnn.onode==targets:\n",
    "        return True\n",
    "    else:\n",
    "        return False\n",
    "    \n",
    "#是否数值\n",
    "\n",
    "def if_num(flag,num):\n",
    "    if flag:\n",
    "        return num\n",
    "    else:\n",
    "        pass\n",
    "    \n",
    "#输出数值列表\n",
    "num_list=[0,1,2,3,4,5,6,7,8,9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#准备训练集与验证集\n",
    "\n",
    "root = \"trainingDigits16x\" #数据文件所在路径\\n\"\n",
    "pathlist = os.listdir(root) # 获取路径下所有数据文件\"\n",
    "\n",
    "random.shuffle(pathlist)\n",
    "train_set=[]\n",
    "\n",
    "for i in range (0,32):\n",
    "    filepath=root+'\\\\'+pathlist[i]\n",
    "    s=pathlist[i]\n",
    "    n=(re.split('_',s))[0]\n",
    "    targets=num_bool_dict[int(n)]\n",
    "\n",
    "    inputs=file2matrix(filepath).flatten().tolist()\n",
    "    #print(filepath)\n",
    "    train_set.append([inputs,targets,int(n)])\n",
    "\n",
    "random.shuffle(pathlist)\n",
    "verify_set=[]\n",
    "for i in range (0,64):\n",
    "    filepath=root+'\\\\'+pathlist[i]\n",
    "    s=pathlist[i]\n",
    "    n=(re.split('_',s))[0]\n",
    "    targets=num_bool_dict[int(n)]\n",
    "\n",
    "    inputs=file2matrix(filepath).flatten().tolist()\n",
    "    #print(filepath)\n",
    "    verify_set.append([inputs,targets,int(n)]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 从boolean——net初始化\n",
    "#boolean_net这个类包含了训练，反向传播，正向传播等等方法\n",
    "# bl.db这个参数目前没有使用，为未来持久化做准备\n",
    "\n",
    "blnn_set=[]\n",
    "\n",
    "for i in range(0,10):\n",
    "    blnntemp=boolean_net.booleannet('bl.db',256,16,4)\n",
    "    blnn_set.append(blnntemp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAssAAABMCAYAAACbIvqSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4xLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvDW2N/gAACuNJREFUeJzt3W3MZGddx/Hvb2EJWoSWlkKXPiDFluILlwRCQbElsdaHtr5QSopQwEQTE2siaKPGh6IQ+0LAoG1iDIKU8lCgMZRuUtZAFwpJARGImPKQTevSXbQtLWyrUpf9++KcwdPTuWbubu+ZuXf6/SR3dmbOuc65rtnJ5Dfn/M+5UlVIkiRJerhtq+6AJEmStFUZliVJkqQGw7IkSZLUYFiWJEmSGgzLkiRJUoNhWZIkSWowLEuSJOmIJLkiyXtW3Y9FMixLkiRJDYZlSZIkqcGwLEnSGkryuiQ3DJ5/I8l1g+f7kuxM8pIkn0vynf7fl6ymx9psSc5KcnOS+5J8JclF/evvSnJVkhuTHExya5LTB+2an4kkP5pkT99uN3DCaJ9nJ/lMv88vJTl3WeNdFMOyJEnraQ/w0iTbkpwEbAd+EiDJs4EnAf8O3Ai8HTgeeCtwY5LjV9NlbZYk24EbgI8BJwKXAdcmObNf5RLgjcBxwDeAN/ftnsrsz8R7gX+mC8l/DrxmsM9n9m3fBDwV+F3gw0metrCBLoFhWZKkNVRVe4GDwE7gHOAm4M4kz+2ffwr4ReDrVXVNVR2qqvcBtwEXrqjb2jxn0/0gurKqHqyqjwMfpQvJANdX1Wer6hBwLd3nBGZ8JpKcCrwQ+OOq+l5VfZIukE+8CthVVbuq6nBV7QY+D/zCoge7SI9fdQckSdLC7AHOBZ7TP76PLii/uH++A7hj1OYO4JnL66IWZAewr6oOD14b/t9+a/D6f9EF60m71mdiB3BvVT0wWnZK//g04OVJhj+2tgOfONJBbAUeWZYkaX1NwvJL+8d76MLyOf3j/XQBZ+hU4M7ldVELsh84Jckw623k/3bWZ+IAcFySY0bLJvYB11TVsYO/Y6rqyiMbwtZgWJYkaX3tAV4G/FBVfZOu9OLn6GpR/wXYBZyR5JVJHp/kFcDz6E7X6+h2K/AAcHmS7f2FdhcC75/TrvmZqKo76Moq3pjkCUl+ioeW7LyHrlzj/CSPS/LEJOcmOXmzB7dMhmVJktZUVX0NuJ8uJFNV3wX2Ap+uqu9X1T3ABcAbgHuAy4ELquruFXVZm6SqHgQuAn4euBu4Gri0qm6b027eZ+KVwIuAbwN/Crx70HYf8EvAHwJ30R1p/j2O8ryZqlp1HyRJkqQt6ahO+tJjWZL7+9s/aU0kuT3Jzyx4H89KUkm8wFuSNsAvS+koVVVPmr+WJEl6NDyyLEmSJDUYljdBP4XkuZu8zdcmuWUzt6mjwyOYoraSPGc1vdQC7Uzy5X6a2Q8Mrib/ZpI3JPnPJAeSvG7SIMlTkrw7yV1J7kjyR5PbRfVXpP9lkruT7KWbcIBR23f027wzyZuSPG7JY5akLcsyjE1QVT++6j5orewB3taHnaczfYraL6+ue1qwi+lu7fU/wKeB19LNnvUM4Cl0EwOcB3woyT9W1b3AX/fLnk13S7CP0d0P9R3Ar9Nd2f58uttIfXi0v38A/oNu0opj6G4Ztg/420UNUJKOJoZlaYupqr1JJlPUnkE3Re3OforaFwOfqqrDSVbZTS3O26tqP0B/hmEnXVj+X+DP+qlpdyW5HzgzyeeAVwDPr6qDwMEkbwFeTReWLwb+qr+lE0n+gm6SCpI8ne62UsdW1X8DDyR5G/AbPIbD8uFv/VjzNlHn79jZWsRN+794xPuctd1Z5u1zEf2d19dZ213FOHcf/uDCvixnfVZ09Nn2jK9P/axYhrEJJlewJ7kiyXX96dCDfXnGCwbrnZXk5iT39csuGiw7PslHknw3yWeB00f7eG6S3Um+neSrSS5e4hC1fJNZt366f3wzD511S+urNQXtPX1QHi87AXgCD52edjil7Q66I8XDZROn0Z25ONB/L91HF5JPfLSDkKR1YVjefBfRzY5zLPAR4G8AkmwHbqA7PXoicBlwbZIz+3ZX0Z12PQn4tf6Pvu0xwG7gvX3bS4Crk1j+sb7mTVErTdxNd9R5OD3tcErbA8Apo2UT+4DvAScMpqZ9sqVlkvT/DMub75aq2lVV3weuAX6if/1suqNAV1bVg1X1cbrawEv6i2l+GfiTqnqgqv6Vro5w4gLg9qp6Z1Udqqov0NUd/sqyBqWlmzdFrQRA/11zHfDmJD+S5DTg9XTTztIv++0kJyc5Dvj9QdsDdD/g35LkyUm2JTk9yTlLHoYkbVmG5c03PoX6xP7m/zuAfVV1eLB8cqr0aXT147NOlb5ocpq0P1X6q3QX/GgNzZuidpV905Z0Gd3Fe3uBW+jOQv19v+zv6OrevwR8Abh+1PZSujKOfwPuBT5Ed4ZLkoQX+C3TfuCUJNsGgflU4Gt086cfojtVettg2cQ+YE9Vnbeszmr1quqk0fMXjJ57hd+aqapnjZ5fMXh6cmvd/o4Yr2ps8xDwO/3fxFWD5d8BfrP/kySNeGR5eW6lO/JzeZLt/X2ZLwTe3x8pvB64IskPJ3ke8JpB248CZyR5dd92e5IXJjlr2YOQJEl6LPHI8pJU1YP93S+uBv6A7uKbS6tqciT5t4B30pVx3NY/flnf9mCSnwXe2v9tozul+vqlDkKS1HSkt0WDxdxubVEWdbu6We222nugxxbD8iYYnA79p9HrtwMZPP8K3d0Mpm3jLroL+Vr7+CqjmbckSZK0WJZhSJIkSQ2GZUmSJKnBMgwd9c7b9vKCrhZuWNc2qY2bvDaulRu/fv6OnT/Yxka2NVlvo23nrTfebqtGb9q+x8tnjXs8/mnbnvZ8vN/xNqaNc7zerPdiojXd6GZwatr1ssjPiiRNeGRZa2EStm7a/8Uf/J2/Y+fDgtg84wA3KwBOXhvvf9iP4TrTAuS07Y0D6rRtjsfX2s60vs7admvZuG/T1hu/Pu7LcPvT3hMv4JEkbUWGZa2NcRCDh4fY8bJpR3CH25m3zWmBeGjafqcF2XEIHgfQaUFz2jqz3o/xezFt3XmvDfs7DrzT3o/WezAt4D+SHzWSJC1LqrbmWUlPl66XZZ5an1ZG0Pp3mmnrTrbbCprT1pn1uGVe2cOw/bQjvsPXH4nxPsf7nzf2WUfNN1LWMVzfMgxt1KI+K5PSrmkezS3ejvQH4SpuSXc03cpunt2HP+h3ijak9Z2yZWuWrUXTRm2k1GLW0dzWkduxaUF7fDS11Y9xacdGA/t4u9OC5kZKOYbLWvtrtZ21/1b/Wn3ZyPZ3H0aSpC3DMgytrWFInFVuMQ6erdKJWdtvhd9ZgXIjoXy4n9YR2XmlJdP6MO8I+axxD9edVus8r+1wDNNKXiRJ2koMy1oL0+pz59XqDgPbRmttx22ntXmkp2KnheJWCUhrv62+jH8wjNefV1Pdqoseh93xuFv7mjb28Y8USZK2ki1bsyxJ0ipYs2zN8kZZs7xeWiXAHlmWJEmSGgzLkiRJUoNhWZIkSWrYsreOkyRpFRZR5/to2y57n6uok5a2Ko8sS5IkSQ2GZUmSJKnBsCxJkiQ1GJYlSZKkBsOyJEmS1GBYliRJkhqc7lqSJElq8MiyJEmS1GBYliRJkhoMy5IkSVKDYVmSJElqMCxLkiRJDYZlSZIkqcGwLEmSJDUYliVJkqQGw7IkSZLUYFiWJEmSGgzLkiRJUoNhWZIkSWowLEuSJEkNhmVJkiSpwbAsSZIkNRiWJUmSpAbDsiRJktRgWJYkSZIaDMuSJElSg2FZkiRJajAsS5IkSQ2GZUmSJKnBsCxJkiQ1/B8kpUtZMfp+egAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#初始化的二值神经网络\n",
    "\n",
    "\n",
    "show_nn(blnn_set[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\101it\\bnn\\pythonlib\\boolean.py:46: NumbaWarning: \u001b[1m\n",
      "Compilation is falling back to object mode WITH looplifting enabled because Function \"otimes_bv_bm\" failed type inference due to: \u001b[1mUntyped global name 'otimes_bv_bv':\u001b[0m \u001b[1m\u001b[1mCannot determine Numba type of <class 'function'>\u001b[0m\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 48:\u001b[0m\n",
      "\u001b[1mdef otimes_bv_bm(bv,bm):\n",
      "\u001b[1m    temp=[otimes_bv_bv(x,bv) for x in bm]\n",
      "\u001b[0m    \u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\u001b[0m\n",
      "  @jit\n",
      "c:\\users\\llt-60\\appdata\\local\\programs\\python\\python36-32\\lib\\site-packages\\numba\\core\\object_mode_passes.py:152: NumbaWarning: \u001b[1mFunction \"otimes_bv_bm\" was compiled in object mode without forceobj=True.\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 47:\u001b[0m\n",
      "\u001b[1m@jit\n",
      "\u001b[1mdef otimes_bv_bm(bv,bm):\n",
      "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\n",
      "  state.func_ir.loc))\n",
      "c:\\users\\llt-60\\appdata\\local\\programs\\python\\python36-32\\lib\\site-packages\\numba\\core\\object_mode_passes.py:162: NumbaDeprecationWarning: \u001b[1m\n",
      "Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.\n",
      "\n",
      "For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 47:\u001b[0m\n",
      "\u001b[1m@jit\n",
      "\u001b[1mdef otimes_bv_bm(bv,bm):\n",
      "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\n",
      "  state.func_ir.loc))\n",
      "c:\\users\\llt-60\\appdata\\local\\programs\\python\\python36-32\\lib\\site-packages\\numba\\core\\ir_utils.py:2119: NumbaPendingDeprecationWarning: \u001b[1m\n",
      "Encountered the use of a type that is scheduled for deprecation: type 'reflected list' found for argument 'bv1' of function 'qtimes_bv_bv'.\n",
      "\n",
      "For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-reflection-for-list-and-set-types\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 59:\u001b[0m\n",
      "\u001b[1m\n",
      "\u001b[1mdef  qtimes_bv_bv(bv1,bv2):\n",
      "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\n",
      "  warnings.warn(NumbaPendingDeprecationWarning(msg, loc=loc))\n",
      "c:\\users\\llt-60\\appdata\\local\\programs\\python\\python36-32\\lib\\site-packages\\numba\\core\\ir_utils.py:2119: NumbaPendingDeprecationWarning: \u001b[1m\n",
      "Encountered the use of a type that is scheduled for deprecation: type 'reflected list' found for argument 'bv2' of function 'qtimes_bv_bv'.\n",
      "\n",
      "For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-reflection-for-list-and-set-types\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 59:\u001b[0m\n",
      "\u001b[1m\n",
      "\u001b[1mdef  qtimes_bv_bv(bv1,bv2):\n",
      "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\n",
      "  warnings.warn(NumbaPendingDeprecationWarning(msg, loc=loc))\n",
      "E:\\101it\\bnn\\pythonlib\\boolean.py:66: NumbaPendingDeprecationWarning: \u001b[1m\u001b[1m\n",
      "Encountered the use of a type that is scheduled for deprecation: type 'reflected list' found for argument 'bv1' of function 'qtimes_bv_bv'.\n",
      "\n",
      "For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-reflection-for-list-and-set-types\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 59:\u001b[0m\n",
      "\u001b[1m\n",
      "\u001b[1mdef  qtimes_bv_bv(bv1,bv2):\n",
      "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\u001b[0m\n",
      "  temp=[qtimes_bv_bv(bv1,x) for x in (list(bm1))]\n",
      "c:\\users\\llt-60\\appdata\\local\\programs\\python\\python36-32\\lib\\site-packages\\numba\\core\\ir_utils.py:2119: NumbaPendingDeprecationWarning: \u001b[1m\n",
      "Encountered the use of a type that is scheduled for deprecation: type 'reflected list' found for argument 'bv1' of function 'qtimes_bv_bm'.\n",
      "\n",
      "For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-reflection-for-list-and-set-types\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 65:\u001b[0m\n",
      "\u001b[1m@jit\n",
      "\u001b[1mdef qtimes_bv_bm(bv1,bm1):\n",
      "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\n",
      "  warnings.warn(NumbaPendingDeprecationWarning(msg, loc=loc))\n",
      "E:\\101it\\bnn\\pythonlib\\boolean.py:64: NumbaWarning: \u001b[1m\n",
      "Compilation is falling back to object mode WITH looplifting enabled because Function qtimes_bv_bm failed at nopython mode lowering due to: list(bool)<iv=None> cannot be represented as a Numpy dtype\u001b[0m\n",
      "  @jit\n",
      "c:\\users\\llt-60\\appdata\\local\\programs\\python\\python36-32\\lib\\site-packages\\numba\\core\\object_mode_passes.py:152: NumbaWarning: \u001b[1mFunction \"qtimes_bv_bm\" was compiled in object mode without forceobj=True.\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 65:\u001b[0m\n",
      "\u001b[1m@jit\n",
      "\u001b[1mdef qtimes_bv_bm(bv1,bm1):\n",
      "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\n",
      "  state.func_ir.loc))\n",
      "c:\\users\\llt-60\\appdata\\local\\programs\\python\\python36-32\\lib\\site-packages\\numba\\core\\object_mode_passes.py:162: NumbaDeprecationWarning: \u001b[1m\n",
      "Fall-back from the nopython compilation path to the object mode compilation path has been detected, this is deprecated behaviour.\n",
      "\n",
      "For more information visit https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit\n",
      "\u001b[1m\n",
      "File \"pythonlib\\boolean.py\", line 65:\u001b[0m\n",
      "\u001b[1m@jit\n",
      "\u001b[1mdef qtimes_bv_bm(bv1,bm1):\n",
      "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n",
      "\u001b[0m\n",
      "  state.func_ir.loc))\n"
     ]
    }
   ],
   "source": [
    "#训练\n",
    "\n",
    "#train\n",
    "random.shuffle(train_set)\n",
    "for i in train_set:\n",
    "    inputs,targets,num=i\n",
    "    train_id_blnn(blnn_set,num,inputs,targets)\n",
    "\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAssAAABMCAYAAACbIvqSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4xLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvDW2N/gAAC1tJREFUeJzt3W2sZVddx/Hvb2AIWoSWlkKHPiDFluILhwRCQbElsdaHtr5QSopQwEQTE2siaKPGh6IQ+0LAoG1iDKKUIhZoDKWTlDHYkWJSUCxETHnIpHXoDNqWFqZVqcP8fbH30d3NWefM3HvPOffefj/JzT3nrLP2XuvenXt/Z+2190pVIUmSJOk77Vh1AyRJkqTNyrAsSZIkNRiWJUmSpAbDsiRJktRgWJYkSZIaDMuSJElSg2FZkiRJa5LkmiTvX3U7FsmwLEmSJDUYliVJkqQGw7IkSdtQkjcluWXw/CtJbho8P5Bkd5JXJPlMkm/031+xmhZroyU5L8ntSR5O8oUkl/Wv/0WS65LcmuRwkjuTnD2o1zwmknxvkn19vb3AKaN9np/kH/p9fi7Jhcvq76IYliVJ2p72Aa9MsiPJacBO4AcBkjwfeBrwb8CtwLuBk4F3ArcmOXk1TdZGSbITuAX4OHAqcBVwY5Jz+7dcAbwVOAn4CvD2vt4zmX1MfAD4J7qQ/PvAGwb7fG5f923AM4FfBT6S5FkL6+gSGJYlSdqGqmo/cBjYDVwA3Abcl+SF/fNPAj8JfLmqbqiqI1X1V8DdwKUrarY2zvl0H4iurarHquoTwMfoQjLAzVX16ao6AtxId5zAjGMiyZnAS4HfrqpvVdXf0wXyidcBe6pqT1Udraq9wD8CP7Hozi7Sk1fdAEmStDD7gAuBF/SPH6YLyi/vn+8C7h3VuRd47vKaqAXZBRyoqqOD14a/268NXv9PumA9qdc6JnYBD1XVo6OyM/rHZwGvTjL8sLUT+Lu1dmIzcGRZkqTtaxKWX9k/3kcXli/oHx+kCzhDZwL3La+JWpCDwBlJhlnvWH63s46JQ8BJSU4YlU0cAG6oqhMHXydU1bVr68LmYFiWJGn72ge8Cviuqvoq3dSLH6Obi/rPwB7gnCSvTfLkJK8BXkR3ul5b253Ao8DVSXb2F9pdCnxwTr3mMVFV99JNq3hrkqck+SEeP2Xn/XTTNS5O8qQkT01yYZLTN7pzy2RYliRpm6qqLwGP0IVkquqbwH7gU1X17ap6ELgEeAvwIHA1cElVPbCiJmuDVNVjwGXAjwMPANcDV1bV3XPqzTsmXgu8DPg68LvA+wZ1DwA/BfwmcD/dSPOvscXzZqpq1W2QJEmSNqUtnfSlJ7Ikj/S3f9I2keSeJD+y4H08L0kl8QJvSToG/rGUtqiqetr8d0mSpPVwZFmSJElqMCxvgH4JyQs3eJtvTHLHRm5TW8NxLFFbSV6wmlZqgXYn+Xy/zOxfD64m/2qStyT5jySHkrxpUiHJM5K8L8n9Se5N8luT20X1V6T/YZIHkuynW3CAUd339Nu8L8nbkjxpyX2WpE3LaRgboKq+f9Vt0LayD3hXH3aezfQlaj+/uuZpwS6nu7XXfwOfAt5It3rWc4Bn0C0McBHw4SR/U1UPAX/clz2f7pZgH6e7H+p7gJ+nu7L9xXS3kfrIaH9/Cfw73aIVJ9DdMuwA8KeL6qAkbSWGZWmTqar9SSZL1J5Dt0Tt7n6J2pcDn6yqo0lW2Uwtzrur6iBAf4ZhN11Y/h/g9/qlafckeQQ4N8lngNcAL66qw8DhJO8AXk8Xli8H/qi/pRNJ/oBukQqSPJvutlInVtV/AY8meRfwCzyBw/JFO169kNtE3Xbwrg3f5sW7ds8sX+s+Z2133jbXWndeX9Zq79EPLeyP5aKOlVkWcRzNs6jfzSyr6OeO53x56rHiNIwNMLmCPck1SW7qT4ce7qdnvGTwvvOS3J7k4b7sskHZyUk+muSbST4NnD3axwuT7E3y9SRfTHL5Eruo5ZusuvXD/ePbefyqW9q+WkvQPtgH5XHZKcBTePzytMMlbXfRjRQPyybOojtzcaj/u/QwXUg+db2dkKTtwrC88S6jWx3nROCjwJ8AJNkJ3EJ3evRU4CrgxiTn9vWuozvtehrwc/0Xfd0TgL3AB/q6VwDXJ3H6x/Y1b4laaeIBulHn4fK0wyVtDwFnjMomDgDfAk4ZLE37dKeWSdL/MyxvvDuqak9VfRu4AfiB/vXz6UaBrq2qx6rqE3RzA6/oL6b5aeB3qurRqvoXunmEE5cA91TVe6vqSFV9lm7e4c8sq1NaunlL1EoA9H9rbgLenuR7kpwFvJlu2Vn6sl9OcnqSk4BfH9Q9RPcB/h1Jnp5kR5Kzk1yw5G5I0qZlWN5441OoT+1v/r8LOFBVRwflk1Olz6KbPz7rVOnLJqdJ+1OlP0t3wY+2oXlL1K6ybdqUrqK7eG8/cAfdWag/78v+jG7e++eAzwI3j+peSTeN41+Bh4AP053hkiThBX7LdBA4I8mOQWA+E/gS3frpR+hOld49KJs4AOyrqouW1VitXlWdNnr+ktFzr/DbZqrqeaPn1wyent56b39HjNc1tnkE+JX+a+K6Qfk3gF/svyRJI44sL8+ddCM/VyfZ2d+X+VLgg/1I4c3ANUm+O8mLgDcM6n4MOCfJ6/u6O5O8NMl5y+6EJEnSE4kjy0tSVY/1d7+4HvgNuotvrqyqyUjyLwHvpZvGcXf/+FV93cNJfhR4Z/+1g+6U6puX2glJegJY1C2rFnH7rfW0dVG3A1vF7eGkRTIsb4DB6dC/Hb1+D5DB8y/Q3c1g2jbup7uQr7WPLzJaeUuSJEmL5TQMSZIkqcGwLEmSJDU4DUNb3mS50ck8uYt37X7c44l55cP3DMvGr9128K7v+N6qM3w+fu80w+3Oa/e0/Q73NW2/s/rb2ta0frf6O20f8/Y1bm9rudGNcPRr37eQpWm30lzUzTYfdz3tWeSxIkkTjixry7vt4F3/F7gm/7DHIa4VMofbGNYb/uOfFgJm/YMflk3aNn592Nbh82EgHbZpWDYOv+P3j9sxbs/QuG+tsN96PG7nvP1P+1m22i9J0mbgyLK2lWmjwOPyaaO34zA6bXvD907b1/C1eSPErW3P2s+8Uerha622tfo+NA7XrdHk1mjzuD3T9jmvr5IkbRabNixPTq1PtP7Ztka11lPveLY5fjyp1wpG88qmtXnWaOC8kcLj7c9G1JtWtvfohxZ6unTaiPCwDbNGlMdlrRHdVoicFrpbo7nTQvmxTGGYF45b00OOZYR82s9sOFo/3v64X9MC+nifs6agjPez9+jUt0lLs6gpJWv9MLieaT5rnZJzLB9u17LdVfwMpPXatGF5Wria9U90lWXj9y2ibC3t2sxlG6kVJI91tHLWFIzx82lTIVofGqbNxx3vd9a0h+P9QDdvRHxa2B+3sdXmeSF+1oemyftaHzDntVuSpFXatGFZOl6t0d9Zga41ctyaejBrn/OmS4zD+KxR32mhddao7rTtjPc9LbTPCvDDbcwbNT6e+uPRdUeWJUmbmWFZ28q80/2T94yD43g6w7QQOSkf7mteW8bvawXocVlrdLs1nWfaKHcrYB/rdIxp/Wy1cVZ/pm1n2u9p3rxmSZJWIVULuZOSJElb0viamWO1qGlEa513vJ666/nguoifw3ras8hrZtZ6rKzHKqarrWIgYxX9bN2O0lvHSZIkSQ2GZUmSJKnBsCxJkiQ1eIGfJEnHaLPNS17PPY8XdT/pWdbaz/XMzZbWy5FlSZIkqcGwLEmSJDUYliVJkqQGw7IkSZLUYFiWJEmSGgzLkiRJUoPLXUuSJEkNjixLkiRJDYZlSZIkqcGwLEmSJDUYliVJkqQGw7IkSZLUYFiWJEmSGgzLkiRJUoNhWZIkSWowLEuSJEkNhmVJkiSpwbAsSZIkNRiWJUmSpAbDsiRJktRgWJYkSZIaDMuSJElSg2FZkiRJajAsS5IkSQ2GZUmSJKnBsCxJkiQ1GJYlSZKkBsOyJEmS1GBYliRJkhoMy5IkSVLD/wIjRHGZKPj0DgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAssAAABMCAYAAACbIvqSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4xLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvDW2N/gAACzBJREFUeJzt3W2sZVddx/Hvb2AIWoSWlkKHPiCFluILhwRCQbElsdaHtr7QlhShgIkmJtZE0EaND0Uh9oWAQdvEGEQpRSzQGEqbwBjsSDEpKAoRUx4yaR06U21LC9Oq1GH+vtj74O72rHPvzL3n4d75fpKbe87ee+299r079/7O2muvlapCkiRJ0v+3Y9kVkCRJklaVYVmSJElqMCxLkiRJDYZlSZIkqcGwLEmSJDUYliVJkqQGw7IkSZKOSZJrk7x/2fWYJ8OyJEmS1GBYliRJkhoMy5IkbUNJ3pTk1sH7rya5efB+f5LdSV6Z5LNJvtF/f+VyaqzNluS8JHckeSTJF5Nc1i//8yTXJ7ktyaEkdyU5e1CueU0k+d4ke/tye4BTRsc8P8nf98f8fJILF3W+82JYliRpe9oLvCrJjiSnATuBHwBI8nzgacC/AbcB7wZOBt4J3Jbk5OVUWZslyU7gVuATwKnA1cBNSc7tN7kSeCtwEvBV4O19uWcy+5r4APCPdCH594A3DI753L7s24BnAr8CfCTJs+Z2ogtgWJYkaRuqqn3AIWA3cAHwceC+JC/q338K+AngK1V1Y1Udrqq/BO4GLl1StbV5zqf7QHRdVT1eVZ8EPkYXkgFuqarPVNVh4Ca66wRmXBNJzgReBvxWVX2rqv6OLpBPvA64vapur6ojVbUH+Afgx+d9svP05GVXQJIkzc1e4ELgBf3rR+iC8iv697uAe0dl7gWeu7gqak52Afur6shg2fB3e/9g+X/SBetJudY1sQt4uKoeG607o399FnB5kuGHrZ3A3x7rSawCW5YlSdq+JmH5Vf3rvXRh+YL+9QG6gDN0JnDf4qqoOTkAnJFkmPXW87uddU0cBE5KcsJo3cR+4MaqOnHwdUJVXXdsp7AaDMuSJG1fe4FXA99VVV+j63rxo3R9Uf8JuB04J8lrkzw5yWuAF9PdrtfWdhfwGHBNkp39g3aXAh9co1zzmqiqe+m6Vbw1yVOS/CBP7LLzfrruGhcneVKSpya5MMnpm31yi2RYliRpm6qqLwOP0oVkquqbwD7g01X17ap6CLgEeAvwEHANcElVPbikKmuTVNXjwGXAjwEPAjcAV1XV3WuUW+uaeC3wcuDrwO8A7xuU3Q/8JPAbwAN0Lc2/yhbPm6mqZddBkiRJWklbOulLx7Mkj/bDP2mbSHJPkh+e8zGel6SS+IC3JK2DfyylLaqqnrb2VpIkaSNsWZYkSZIaDMuboJ9C8sJN3ucbk9y5mfvU1nAUU9RWkhcsp5aao91JvtBPM/tXg6fJv5bkLUn+I8nBJG+aFEjyjCTvS/JAknuT/OZkuKj+ifQ/SPJgkn10Ew4wKvuefp/3JXlbkict+JwlaWXZDWMTVNX3LbsO2lb2Au/qw86zmT5F7ReWVz3N2RV0Q3v9N/Bp4I10s2c9B3gG3cQAFwEfTvLXVfUw8Ef9uufTDQn2CbrxUN8D/Bzdk+0voRtG6iOj4/0F8O90k1acQDdk2H7gT+Z1gpK0lRiWpRVTVfuSTKaoPYduitrd/RS1rwA+VVVHkiyzmpqfd1fVAYD+DsNuurD8P8Dv9lPT3p7kUeDcJJ8FXgO8pKoOAYeSvAN4PV1YvgL4w35IJ5L8Pt0kFSR5Nt2wUidW1X8BjyV5F/DzHMdh+cj9LzymYaIu3rV75vqPH/jnYy47D6tWn3nZc+RDc/tjedGOyxc+pNis35s2ZsdzvjL1WrEbxiaYPMGe5NokN/e3Qw/13TNeOtjuvCR3JHmkX3fZYN3JST6a5JtJPgOcPTrGi5LsSfL1JF9KcsUCT1GLN5l164f613fwxFm3tH21pqB9qA/K43WnAE/hidPTDqe03UXXUjxcN3EW3Z2Lg/3fpUfoQvKpGz0JSdouDMub7zK62XFOBD4K/DFAkp3ArXS3R08FrgZuSnJuX+56utuupwE/23/Rlz0B2AN8oC97JXBDErt/bF9rTVErTTxI1+o8nJ52OKXtQeCM0bqJ/cC3gFMGU9M+3a5lkvR/DMub786qur2qvg3cCHx/v/x8ulag66rq8ar6JF3fwCv7h2l+Cvjtqnqsqv6Frh/hxCXAPVX13qo6XFWfo+t3+NOLOikt3FpT1EoA9H9rbgbenuR7kpwFvJlu2ln6db+U5PQkJwG/Nih7kO4D/DuSPD3JjiRnJ7lgwachSSvLsLz5xrdQn9oP/r8L2F9VRwbrJ7dKn0XXf3zWrdKXT26T9rdKf4bugR9tQ2tNUbvMumklXU338N4+4E66u1B/1q/7U7p+758HPgfcMip7FV03jn8FHgY+THeHS5KED/gt0gHgjCQ7BoH5TODLdPOnH6a7VXr3YN3EfmBvVV20qMpq+arqtNH7l47e+4TfNlNVzxu9v3bw9vTWtv2IGK9r7PMw8Mv918T1g/XfAH6h/5IkjdiyvDh30bX8XJNkZz8u86XAB/uWwluAa5N8d5IXA28YlP0YcE6S1/dldyZ5WZLzFn0SkiRJxxNblhekqh7vR7+4Afh1uodvrqqqSUvyLwLvpevGcXf/+tV92UNJfgR4Z/+1g+6W6psXehKSdJzbyJBq8xiObSPDiM2qz6rtdyPD8kkbZVjeBIPboX8zWn4PkMH7L9KNZjBtHw/QPcjXOsaXGM28JUmSpPmyG4YkSZLUYFiWJEmSGuyGoS3vyP0vrIt37f5On7XJ62Eft/H7tZYN9zVZPm3f4+XTXo/32/o+3H6aWXWate1a5zQxq16tbcbLx6+P5mcw2aY13ehmmDWN8Ub6Wc6r7+exWrX6zMs8rxVJmrBlWVveJBhMC2XTgkErZE6WT8qP9zd+PW0f07aZFsqnbT8u06rv8LymBdppZafVYfxzG+5v2jkOjzU8fmvbVigfH2tanSRJWhW2LGtbmRYIW2FtVoCcFqiHAXxWi/S0EDoOxOtpoZ4W2lvbtM6htW58Tq3Q3WoBnrbdtHA8qzX/aD9USJK0DCsbli/acfl3bpeu53bztPXr+ae9ntvf06z3FnirPuP1s+q61vEm61d53Z4jH5rb7dJZAWy83dCscDur9fhow95agX3aNmu1jI+D6awuIOup37DstBbkcWv1tGDc+hAxPsb4uMOy26mLgLanjVyjy+geM49jrvX/ctZ+j/UDsX8btEwrG5anhas9R6Ztub7109YNl62178065nrWH+s+t8q6eRoGvvX0jx1+n9VqOq0P8HpaW4/mw9g4UE4Lr62W71bQnNUKPtzPeurWOpdW0B/Xd1Zr+vA8lnXtSJI0jX2Wta20AnCrZbPVfaDVqjs+Tmv5tBbU1p2FWS250wJmq56zWo3Hy8b7Gf4sWq3t4/Mcb7dWq/Gs/UmStKoMy9ryxi2Z4wA8Dpfr3c943fj1rFblVreI9XYFGW877hc8LD8Mv+Njtfo2zwrzre4R4/Oe1V1o1rmM6z7+mUmStEpS1RxJSZKk486sIQY3wj7Ly+mzPM8hBofPVy2KDQvz07pWbFmWJEmSGgzLkiRJUoNhWZIkSWpY2aHjJElaNdul3/FG9ruRY86jP/NaZR2OUhtly7IkSZLUYFiWJEmSGgzLkiRJUoNhWZIkSWowLEuSJEkNhmVJkiSpwemuJUmSpAZbliVJkqQGw7IkSZLUYFiWJEmSGgzLkiRJUoNhWZIkSWowLEuSJEkNhmVJkiSpwbAsSZIkNRiWJUmSpAbDsiRJktRgWJYkSZIaDMuSJElSg2FZkiRJajAsS5IkSQ2GZUmSJKnBsCxJkiQ1GJYlSZKkBsOyJEmS1GBYliRJkhoMy5IkSVKDYVmSJElqMCxLkiRJDYZlSZIkqeF/ASeIYQ4TDerJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 查看训练结果，正向传播\n",
    "\n",
    "for i in range(0,10):\n",
    "    #blnn_set[i].feedforward()\n",
    "    show_nn(blnn_set[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[False, False, False, False, False, False, False, False, True, False]\n",
      "[None, None, None, None, None, None, None, None, 8, None]\n",
      "[False, False, False, True, False, False, False, False, False, False]\n",
      "[None, None, None, 3, None, None, None, None, None, None]\n",
      "[False, False, False, False, False, False, False, False, False, True]\n",
      "[None, None, None, None, None, None, None, None, None, 9]\n",
      "[True, False, True, False, False, False, False, False, False, False]\n",
      "[0, None, 2, None, None, None, None, None, None, None]\n",
      "[False, False, False, True, False, False, False, False, False, False]\n",
      "[None, None, None, 3, None, None, None, None, None, None]\n",
      "[True, False, False, False, False, False, False, False, False, False]\n",
      "[0, None, None, None, None, None, None, None, None, None]\n",
      "[False, False, False, False, False, False, False, False, False, True]\n",
      "[None, None, None, None, None, None, None, None, None, 9]\n",
      "[False, False, False, False, True, True, False, False, False, False]\n",
      "[None, None, None, None, 4, 5, None, None, None, None]\n",
      "[False, True, False, False, False, False, False, False, False, False]\n",
      "[None, 1, None, None, None, None, None, None, None, None]\n",
      "[False, False, False, False, True, True, False, False, False, False]\n",
      "[None, None, None, None, 4, 5, None, None, None, None]\n",
      "[False, False, False, False, False, False, False, True, False, False]\n",
      "[None, None, None, None, None, None, None, 7, None, None]\n",
      "[False, False, False, True, False, False, False, False, False, False]\n",
      "[None, None, None, 3, None, None, None, None, None, None]\n",
      "[False, False, False, False, False, False, True, False, False, False]\n",
      "[None, None, None, None, None, None, 6, None, None, None]\n",
      "[False, False, False, False, False, False, False, False, False, True]\n",
      "[None, None, None, None, None, None, None, None, None, 9]\n",
      "[False, False, False, False, False, False, False, False, False, True]\n",
      "[None, None, None, None, None, None, None, None, None, 9]\n",
      "[False, False, False, False, True, True, False, False, False, False]\n",
      "[None, None, None, None, 4, 5, None, None, None, None]\n",
      "[False, False, False, False, False, False, True, False, False, False]\n",
      "[None, None, None, None, None, None, 6, None, None, None]\n",
      "[False, False, False, False, True, True, False, False, False, False]\n",
      "[None, None, None, None, 4, 5, None, None, None, None]\n",
      "[False, False, False, False, False, False, False, False, True, False]\n",
      "[None, None, None, None, None, None, None, None, 8, None]\n",
      "[False, False, True, False, False, False, False, False, False, False]\n",
      "[None, None, 2, None, None, None, None, None, None, None]\n",
      "[False, True, False, False, False, False, False, False, False, False]\n",
      "[None, 1, None, None, None, None, None, None, None, None]\n",
      "[False, False, False, False, False, False, False, False, True, False]\n",
      "[None, None, None, None, None, None, None, None, 8, None]\n",
      "[False, False, True, False, False, False, True, False, False, False]\n",
      "[None, None, 2, None, None, None, 6, None, None, None]\n",
      "[False, False, False, False, False, False, True, False, False, False]\n",
      "[None, None, None, None, None, None, 6, None, None, None]\n",
      "[False, False, False, False, False, False, True, False, False, False]\n",
      "[None, None, None, None, None, None, 6, None, None, None]\n",
      "[False, False, False, True, False, False, False, False, False, False]\n",
      "[None, None, None, 3, None, None, None, None, None, None]\n",
      "[False, True, False, True, False, False, False, False, False, False]\n",
      "[None, 1, None, 3, None, None, None, None, None, None]\n",
      "[False, False, True, False, False, False, True, False, False, False]\n",
      "[None, None, 2, None, None, None, 6, None, None, None]\n",
      "[False, False, False, True, False, False, False, False, False, False]\n",
      "[None, None, None, 3, None, None, None, None, None, None]\n",
      "[False, False, False, False, False, False, False, True, False, False]\n",
      "[None, None, None, None, None, None, None, 7, None, None]\n",
      "[False, False, False, True, False, False, False, False, False, False]\n",
      "[None, None, None, 3, None, None, None, None, None, None]\n",
      "[False, False, False, False, True, True, False, False, False, False]\n",
      "[None, None, None, None, 4, 5, None, None, None, None]\n",
      "[False, False, False, False, False, False, False, False, False, True]\n",
      "[None, None, None, None, None, None, None, None, None, 9]\n",
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ozF2N2OHtyHfI2R7u2LQjb39YLUe+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAzN1aAWwE3SIDbFke+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAz4QsAnQlfAOhM+AJAZ8IXADoTvgDQmfAFgM6ELwB0JnwBoDPhCwCdCV8A6Ez4AkBnwhcAOhO+ANCZ8AWAznZZ6wKA/jasO3ytS4DbNEe+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAz4QsAnbmrEWxl522+cK1LAG7lHPkCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAz4QsAnQlfAOhM+AJAZ8IXADoTvgDQmfAFgM6ELwB05q5GsB3bsO7wtS4BWAVHvgDQmfAFgM6ELwB0JnwBoDPhCwCdCV8A6Ez4AkBnwhcAOhO+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAz4QsAnQlfAOhM+AJAZ8IXADoTvgDQmfAFgM6qtbbWNQDAbYojXwDoTPgCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAz4QsAnQlfAOhM+AJAZ8IXADoTvgDQmfAFgM6ELwB0JnwBoDPhCwCdCV8A6Ez4AkBnwhcAOhO+ANCZ8AWAzoQvAHQmfAGgs/8H/85KHMDYMJcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQCEcAaIQjADTCEQAa4QgAjXAEgEY4AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI1wBIBGOAJAIxwBoBGOANAIRwBohCMANNs2uwDgIu/cfvpmlwDEmSMAXIxwBIBGOAJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQ+FUOrjD84gWwKmeOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQCEcAaIQjADTCEQAa4QgAjV/lANblqIOO2OwS4DLnzBEAGuEIAI1wBIBGOAJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQOOLx+EKyheIw845cwSARjgCQCMcAaARjgDQCEcAaIQjADTCEQAa4QgAjXAEgEY4AkAjHAGgEY4A0AhHAGhqjLHZNQDAluLMEQAa4QgAjXAEgEY4AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI1wBIBGOAJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQCEcAaP4feLFpiBooJD0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LAIMJXwAYTPgCwGB6NYIt0IPSjelBCbYeV74AMJjwBYDBhC8ADCZ8AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDAdK7BNWct/uL89d5AwsgOC7Xk7wmiufAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMJjwBYDBhC8ADCZ8AWAw4QsAgwlfABhM+ALAYMIXAAbTqxGwkLX2oLSW3pDW2oPSyF6e4CfhyhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMJjwBYDBhC8ADKZjBdiGrbUDgrXQaQFsPa58AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgwhcABtOrEdu9tfbGM7LHoG2B7QFbjytfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwfRqBNzsrLUnKthWuPIFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIPpWAG2YOR/7n/WZecPW9Za6ewAth5XvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAINVa229awCAWxRXvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMJjwBYDBhC8ADCZ8AWAw4QsAgwlfABhM+ALAYP8HQGRTNkSe5WAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YTPgCwGDCFwAG06sRbGfr6TFoZzByvfSgxK7OlS8ADCZ8AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEzHCrCMXbWDhGTH77hgvdt+R18vWOLKFwAGE74AMJjwBYDBhC8ADCZ8AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDC9GrFTWU+vNXonAnY0rnwBYDDhCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGA6VoDtTGcHwGpc+QLAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAymVyPYzs6+7Pw1T7Mr94S0nu0BuzpXvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIPp1Qh2AHr+ua5duZcnSFz5AsBwwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMJjwBYDBdKzALm9X/p/0j+yQYVfejjCaK18AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMJjwBYDBqrW20TUAwA2KK18AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMJjwBYDBhC8ADCZ8AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYLD/AwK7TusPB3voAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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W4/zLL9ruEvYbTxyBm5YzRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQCEcAaIQjADTCEQAa4QgAjXAEgMZTOeBm4EA+ccQTQLglcOYIAI1wBIBGOAJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaDxw+OwgxzIH/Xe6o+Vb2U8P1bObuPMEQAa4QgAjXAEgEY4AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI1wBIBGOAJAIxwBoPFUDtgPPIXixrb6BBDLke3izBEAGuEIAI1wBIBGOAJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQOOHx9l1tvpj1Fv98eubqwO5HP2AOLuNM0cAaIQjADTCEQAa4QgAjXAEgEY4AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI1wBIDGUzm4xTiQT6HY6hNAPHEEdgZnjgDQCEcAaIQjADTCEQAa4QgAjXAEgEY4AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI2ncsAGtvKkjK0+JcPTNWBncOYIAI1wBIBGOAJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaDxw+OwH2zlx8qT3fHD41ttG+wmzhwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQCEcAaIQjADTCEQCaGmNsdw0AsKM4cwSARjgCQCMcAaARjgDQCEcAaIQjADTCEQAa4QgAjXAEgEY4AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI1wBIBGOAJAIxwBoBGOANAIRwBohCMANMIRAJr/Ba7VDWigks4iAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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TvgAw2J7rXQDAvLMuPW9N423eePgOrgSuH858AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgHqwAu7Bd4UECa31IAuzOnPkCwGDCFwAGE74AMJjwBYDBhC8ADCZ8AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAM5qlGwPVqLU9eWuuTkNY63q7wdCh2L858AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgHqzAbm+t/2n+Wv+Tfq7LeoQf58wXAAYTvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgME81Ahbi6USw4zjzBYDBhC8ADCZ8AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAMJnwBYDDhCwCDCV8AGMxTjWA7Nm88fNi81vrEIE8agl2TM18AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMJgHK8BOYORDHJKxD2QYvWywK3DmCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMFi11ta7BgC4QXHmCwCDCV8AGEz4AsBgwhcABhO+ADCY8AWAwYQvAAwmfAFgMOELAIMJXwAYTPgCwGDCFwAGE74AMJjwBYDBhC8ADCZ8AWAw4QsAgwlfABhM+ALAYMIXAAYTvgAwmPAFgMGELwAM9v+G0U8UMY00fgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LAM2ELwA0E74A0GzTWhcAJFs2H7Gq6c7cfu5urmT3W02Nq90esFE48wWAZsIXAJoJXwBoJnwBoJnwBYBmwhcAmglfAGgmfAGgmfAFgGbCFwCaCV8AaCZ8AaCZjhVgA9tTO2RYbX06ZGCjcOYLAM2ELwA0E74A0Ez4AkAz4QsAzYQvADQTvgDQTPgCQDPhCwDNhC8ANBO+ANBM+AJAM+ELAM30agTXQKvp/We994QEG4kzXwBoJnwBoJnwBYBmwhcAmglfAGgmfAGgmfAFgGbCFwCaCV8AaCZ8AaCZ8AWAZsIXAJrpWAFYyGo6Y0h0yAA74swXAJoJXwBoJnwBoJnwBYBmwhcAmglfAGgmfAGgmfAFgGbCFwCaCV8AaCZ8AaCZ8AWAZsIXAJrp1Qh2orM3ntX2GLRaehqCteXMFwCaCV8AaCZ8AaCZ8AWAZsIXAJoJXwBoJnwBoJnwBYBmwhcAmglfAGgmfAGgmfAFgGbCFwCa6dWIPd5G6MFnI9TYqbuXJ+jmzBcAmglfAGgmfAGgmfAFgGbCFwCaCV8AaCZ8AaCZ8AWAZsIXAJoJXwBoJnwBoJnwBYBmOlaAayAdF8DacuYLAM2ELwA0E74A0Ez4AkAz4QsAzYQvADQTvgDQTPgCQDPhCwDNhC8ANBO+ANBM+AJAM+ELAM1qGIa1rgEArlGc+QJAM+ELAM2ELwA0E74A0Ez4AkAz4QsAzYQvADQTvgDQTPgCQDPhCwDNhC8ANBO+ANBM+AJAM+ELAM2ELwA0E74A0Ez4AkAz4QsAzYQvADQTvgDQTPgCQDPhCwDNhC8ANPt/U8dfB7f1jwkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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IRwBohCMANMIRABrhCACNcASARjgCQCMcAaDxw+OsqyvrD1Kv5ce5dxdX1vcMFuk5AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI1wBIBGOAJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQCEcAaIQjADTCEQAa4QgAjXAEgEY4AkAjHAGg2bTeBcBGd/qWs9e7BGAX03MEgEY4AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI1wBIBGOAJAIxwBoBGOANAIRwBo3JUDWMpa7lJy6OaDd0IlsPPoOQJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQCEcAaIQjADTuygErWMsdJdZy5wpg49BzBIBGOAJAIxwBoBGOANAIRwBohCMANMIRABrhCACNcASARjgCQCMcAaARjgDQ+OFx2AnW8mPlydp/sHytywO2Tc8RABrhCACNcASARjgCQCMcAaARjgDQCEcAaIQjADTCEQAa4QgAjXAEgEY4AkAjHAGgqTHGetcAABuKniMANMIRABrhCACNcASARjgCQCMcAaARjgDQCEcAaIQjADTCEQAa4QgAjXAEgEY4AkAjHAGgEY4A0AhHAGiEIwA0whEAGuEIAI1wBIBGOAJAIxwBoBGOAND8L2GRoAsGRdFBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hCwCdCV8A6Ez4AkBnwhcAOhO+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6E74A0Nm6tS4AYNam9RvWugTYrhz5AkBnwhcAOhO+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAz4QsAnQlfAOhM+AJAZ8IXADoTvgDQmfAFgM6ELwB0JnwBoDPhCwCdCV8A6Ez4AkBnwhcAOlu31gUAq3fOJeevdQnL2rR+w1qXALc4jnwBoDPhCwCdCV8A6Ez4AkBnwhcAOhO+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6c1cjuAW4NdydCNh2HPkCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAz4QsAnQlfAOhM+AJAZ8IXADoTvgDQmfAFgM6ELwB05q5GsI3tqHco2rR+w1qXADsMR74A0JnwBYDOhC8AdCZ8AaAz4QsAnQlfAOhM+AJAZ8IXADoTvgDQmfAFgM6ELwB0JnwBoDM3VoBtbDU3IFjtzRjc7ABunRz5AkBnwhcAOhO+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6E74A0JnwBYDOhC8AdFattbWuAQBuUxz5AkBnwhcAOhO+ANCZ8AWAzoQvAHQmfAGgM+ELAJ0JXwDoTPgCQGfCFwA6E74A0JnwBYDOhC8AdCZ8AaAz4QsAnQlfAOhM+AJAZ8IXADoTvgDQmfAFgM6ELwB0JnwBoDPhCwCd/T+3lUtpLSZ3uAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看验证结果\n",
    "\n",
    "right=0\n",
    "right_list=[]\n",
    "for i in verify_set:\n",
    "\n",
    "    inputs,targets,num=i\n",
    "    temp=(np.array(inputs)).reshape(16,16)\n",
    "    #show_nparray(temp)\n",
    "    b=[verify(blnn,inputs,targets) for blnn in blnn_set]\n",
    "    print(b)\n",
    "    res=[if_num(x,y) for x,y in zip(b,num_list)]\n",
    "    print(res)\n",
    "    try:\n",
    "        ind==res.index(num)\n",
    "        right+=1\n",
    "        #print('target:',num,'result:',res)\n",
    "        title='target: '+str(num)+' result: '+str(res)\n",
    "        show_nparray_title(temp,title)\n",
    "        right_list.append(num)\n",
    "    except:\n",
    "        pass\n",
    "#print(right) \n",
    "#print(right_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(verify_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#根据结果反向输出\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: [False, False, False, False],\n",
       " 1: [False, False, False, True],\n",
       " 2: [False, False, True, False],\n",
       " 3: [False, False, True, True],\n",
       " 4: [False, True, False, False],\n",
       " 5: [False, True, False, True],\n",
       " 6: [False, True, True, False],\n",
       " 7: [False, True, True, True],\n",
       " 8: [True, False, False, False],\n",
       " 9: [True, False, False, True]}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_bool_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[False, False, False, False],\n",
       " [False, False, False, True],\n",
       " [False, False, True, False],\n",
       " [False, False, True, True],\n",
       " [False, True, False, False],\n",
       " [False, True, False, True],\n",
       " [False, True, True, False],\n",
       " [False, True, True, True],\n",
       " [True, False, False, False],\n",
       " [True, False, False, True]]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bool_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 查看训练结果，正向传播\n",
    "\n",
    "for i in range(0,10):\n",
    "    #blnn_set[i].feedforward()\n",
    "    show_nn(blnn_set[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(blnn_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
